The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-06"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "19097149 (up from 18811953 yesterday: 1.52 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "714940 (up from 707820 yesterday: 1.01 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5291853

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.74



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 4883582 59692 1.24 1307425 160104 1854 1.17 3.28
Brazil 2912212 53139 1.86 900061 98493 1237 1.27 3.38
India 2027074 62538 3.18 1023242 41585 886 2.18 2.05
Russia 870187 5239 0.61 118575 14579 114 0.79 1.68
South Africa 538184 8307 1.57 213963 9604 306 3.29 1.78
Mexico 462690 6590 1.44 138649 50517 819 1.65 10.92
Peru 455409 7785 1.74 113823 20424 196 0.97 4.48
Chile 366671 1948 0.53 42973 9889 97 0.99 2.70
Colombia 357710 11996 3.47 192541 11939 315 2.71 3.34
Iran 320117 2634 0.83 53056 17976 174 0.98 5.62
Spain 309855 4088 1.34 51000 28500 1 0.00 9.20
United Kingdom 309796 964 0.31 15680 46498 49 0.11 15.01
Saudi Arabia 284226 1402 0.50 40988 3055 35 1.16 1.07
Pakistan 281863 727 0.26 23949 6035 21 0.35 2.14
Bangladesh 249651 2977 1.21 53328 3306 39 1.19 1.32
Italy 249204 401 0.16 5468 35187 6 0.02 14.12
Turkey 237265 1153 0.49 20392 5798 14 0.24 2.44
France 231310 2734 1.20 20208 30308 11 0.04 13.10
Argentina 228195 7513 3.40 113412 4251 145 3.53 1.86
Germany 215039 926 0.43 13589 9181 2 0.02 4.27
Iraq 140603 3047 2.22 54455 5161 67 1.32 3.67
Canada 120387 354 0.29 9243 9013 3 0.03 7.49
Philippines 119460 3480 3.00 58194 2150 27 1.27 1.80
Indonesia 118753 1882 1.61 37085 5521 69 1.27 4.65
Qatar 112092 287 0.26 6615 178 0 0.00 0.16
Kazakhstan 96922 980 1.02 30027 1058 0 0.00 1.09
Egypt 95006 131 0.14 9235 4951 21 0.43 5.21
Ecuador 90537 1671 1.88 19172 5877 30 0.51 6.49
China 88460 132 0.15 3146 4680 3 0.06 5.29
Bolivia 86423 1282 1.51 32267 3465 80 2.36 4.01
Sweden 81967 427 0.52 5090 5766 6 0.10 7.03
Oman 80713 427 0.53 18139 492 4 0.82 0.61
Israel 79559 1640 2.10 33500 576 11 1.95 0.72
Ukraine 78515 1346 1.74 20875 1846 33 1.82 2.35
Dominican Republic 76536 876 1.16 27793 1246 24 1.96 1.63
Belgium 72016 858 1.21 8778 9861 2 0.02 13.69
Panama 71418 1187 1.69 21045 1574 21 1.35 2.20
Kuwait 70045 620 0.89 12377 469 1 0.21 0.67
Belarus 68503 127 0.19 2880 580 3 0.52 0.85
United Arab Emirates 61845 239 0.39 5716 354 1 0.28 0.57
Romania 57895 1345 2.38 22892 2566 45 1.79 4.43
Netherlands 57465 715 1.26 5893 6173 0 0.00 10.74
Singapore 54555 301 0.55 7429 27 0 0.00 0.05
Guatemala 54339 830 1.55 21400 2119 47 2.27 3.90
Portugal 52061 213 0.41 4296 1743 3 0.17 3.35
Poland 49515 726 1.49 10461 1774 18 1.03 3.58
Honduras 45755 657 1.46 14888 1446 23 1.62 3.16
Nigeria 45244 354 0.79 10390 930 3 0.32 2.06
Japan 44167 1481 3.47 20657 1034 6 0.58 2.34
Bahrain 42889 375 0.88 7805 156 2 1.30 0.36
Armenia 39819 233 0.59 6260 772 2 0.26 1.94
Ghana 39642 567 1.45 13517 199 0 0.00 0.50
Kyrgyzstan 38659 549 1.44 26161 1447 9 0.63 3.74
Afghanistan 36896 67 0.18 1826 1298 4 0.31 3.52
Switzerland 36108 181 0.50 2818 1985 1 0.05 5.50
Algeria 33626 571 1.73 12271 1273 12 0.95 3.79
Azerbaijan 33247 144 0.44 7082 479 3 0.63 1.44
Morocco 29644 1144 4.01 13099 449 14 3.22 1.51
Uzbekistan 28315 522 1.88 13249 175 4 2.34 0.62
Serbia 27332 299 1.11 7615 621 7 1.14 2.27
Moldova 26628 406 1.55 6364 828 5 0.61 3.11
Ireland 26372 69 0.26 674 1768 5 0.28 6.70
Kenya 24411 538 2.25 12738 399 8 2.05 1.63
Venezuela 23280 981 4.40 12426 202 7 3.59 0.87
Nepal 21750 360 1.68 4406 65 5 8.33 0.30
Austria 21696 130 0.60 2426 719 0 0.00 3.31
Costa Rica 21070 653 3.20 11524 200 9 4.71 0.95
Ethiopia 20900 564 2.77 12425 365 9 2.53 1.75
Australia 20272 382 1.92 9039 266 11 4.31 1.31
El Salvador 19126 425 2.27 8169 513 15 3.01 2.68
Czechia 17731 202 1.15 4119 390 2 0.52 2.20
Cameroon 17718 0 0.00 1561 391 0 0.00 2.21
Cote d’Ivoire 16447 98 0.60 2893 103 0 0.00 0.63
Denmark 14586 146 1.01 1261 617 1 0.16 4.23
Korea, South 14519 20 0.14 847 303 1 0.33 2.09
West Bank and Gaza 13398 333 2.55 5986 92 3 3.37 0.69
Bosnia and Herzegovina 13396 258 1.96 5715 384 5 1.32 2.87
Bulgaria 13014 297 2.34 4870 435 11 2.59 3.34
Madagascar 12526 304 2.49 6437 134 7 5.51 1.07
Sudan 11780 0 0.00 1253 763 0 0.00 6.48
North Macedonia 11399 110 0.97 2776 517 6 1.17 4.54
Senegal 10715 177 1.68 2234 223 5 2.29 2.08

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 541339 10733 2.02 176633 10021 213 2.17 1.85 13700.55 253.62 1 in 73
Florida 510389 7650 1.52 194614 7747 120 1.57 1.52 23763.63 360.70 1 in 42
Texas 483920 6921 1.45 178066 8569 863 11.20 1.77 16689.27 295.52 1 in 60
New York 418928 703 0.17 14153 32756 2 0.01 7.82 21534.77 1683.80 1 in 46
Georgia 204895 3182 1.58 73608 4026 42 1.05 1.96 19298.00 379.19 1 in 52
Illinois 189705 1953 1.04 30623 7791 21 0.27 4.11 14970.62 614.83 1 in 67
New Jersey 183701 374 0.20 7200 15849 7 0.04 8.63 20681.95 1784.36 1 in 48
Arizona 183656 1453 0.80 49043 4002 70 1.78 2.18 24118.00 525.55 1 in 41
North Carolina 131802 2069 1.59 38094 2126 41 1.97 1.61 12566.83 202.71 1 in 80
Louisiana 127246 1303 1.03 40835 4146 50 1.22 3.26 27371.83 891.84 1 in 37
Pennsylvania 121247 801 0.67 18172 7282 28 0.39 6.01 9470.95 568.82 1 in 106
Massachusetts 119874 231 0.19 7293 8691 32 0.37 7.25 17249.29 1250.59 1 in 58
Tennessee 116350 2252 1.97 44810 1186 42 3.67 1.02 17027.23 173.57 1 in 59
Ohio 97471 1166 1.21 26870 3618 22 0.61 3.71 8338.62 309.52 1 in 120
South Carolina 96797 1325 1.39 32714 1942 48 2.53 2.01 18800.23 377.18 1 in 53
Alabama 96592 1938 2.05 35504 1714 19 1.12 1.77 19699.85 349.57 1 in 51
Virginia 95867 818 0.86 21436 2299 25 1.10 2.40 11231.54 269.35 1 in 89
Michigan 94656 763 0.81 14817 6506 28 0.43 6.87 9478.06 651.46 1 in 106
Maryland 93005 579 0.63 17341 3551 15 0.42 3.82 15383.71 587.36 1 in 65
Indiana 71015 1040 1.49 16935 3013 6 0.20 4.24 10548.53 447.55 1 in 95
Mississippi 64400 956 1.51 24603 1825 21 1.16 2.83 21638.70 613.21 1 in 46
Washington 60917 833 1.39 16604 1653 29 1.79 2.71 7999.72 217.07 1 in 125
Minnesota 58640 861 1.49 14293 1677 7 0.42 2.86 10397.84 297.36 1 in 96
Wisconsin 57779 839 1.47 18152 978 8 0.82 1.69 9923.51 167.97 1 in 101
Missouri 56773 1159 2.08 25900 1302 5 0.39 2.29 9250.29 212.14 1 in 108
Nevada 53557 729 1.38 21642 900 10 1.12 1.68 17387.76 292.19 1 in 58
Connecticut 50245 20 0.04 2495 4437 0 0.00 8.83 14092.83 1244.50 1 in 71
Colorado 49418 448 0.91 10710 1852 1 0.05 3.75 8581.40 321.60 1 in 117
Iowa 47559 723 1.54 10209 912 12 1.33 1.92 15073.83 289.06 1 in 66
Arkansas 47028 735 1.59 15914 515 7 1.38 1.10 15583.41 170.65 1 in 64
Utah 42915 587 1.39 11070 330 3 0.92 0.77 13386.01 102.93 1 in 75
Oklahoma 41401 837 2.06 17961 593 10 1.72 1.43 10462.80 149.86 1 in 96
Kentucky 33254 513 1.57 12171 760 8 1.06 2.29 7443.25 170.11 1 in 134
Kansas 29617 361 1.23 8800 378 6 1.61 1.28 10166.09 129.75 1 in 98
Nebraska 27821 332 1.21 5687 340 0 0.00 1.22 14382.18 175.76 1 in 70
Idaho 23401 693 3.05 10267 223 6 2.76 0.95 13058.12 124.44 1 in 77
New Mexico 21773 207 0.96 5635 669 2 0.30 3.07 10383.77 319.05 1 in 96
Oregon 20224 246 1.23 6715 339 1 0.30 1.68 4794.99 80.37 1 in 209
Puerto Rico 19934 283 1.44 9360 258 12 4.88 1.29 6241.68 80.78 1 in 160
Rhode Island 19611 130 0.67 1900 1014 2 0.20 5.17 18512.10 957.18 1 in 54
Delaware 15365 69 0.45 2251 587 0 0.00 3.82 15778.98 602.82 1 in 63
District of Columbia 12518 75 0.60 1442 587 0 0.00 4.69 17737.18 831.74 1 in 56
South Dakota 9273 105 1.15 1579 141 4 2.92 1.52 10482.00 159.38 1 in 95
West Virginia 7278 116 1.62 2621 124 0 0.00 1.70 4072.41 69.38 1 in 246
North Dakota 7177 120 1.70 2509 109 1 0.93 1.52 9417.87 143.03 1 in 106
New Hampshire 6742 23 0.34 603 419 1 0.24 6.21 4958.41 308.15 1 in 202
Montana 4602 173 3.91 2371 65 0 0.00 1.41 4305.85 60.82 1 in 232
Maine 3999 5 0.13 401 124 0 0.00 3.10 2974.98 92.25 1 in 336
Alaska 3483 35 1.02 1790 25 0 0.00 0.72 4761.16 34.17 1 in 210
Wyoming 2953 30 1.03 927 27 0 0.00 0.91 5102.30 46.65 1 in 196
Hawaii 2914 151 5.47 1603 29 2 7.41 1.00 2058.10 20.48 1 in 486
Vermont 1445 9 0.63 120 58 1 1.75 4.01 2315.75 92.95 1 in 432

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 8500463 541339 6.37 2584955 176633 6.83 215135.02
2 Florida 3857363 510389 13.23 1041745 194614 18.68 179598.20
3 Texas 3944480 483920 12.27 1244625 178066 14.31 136035.87
4 New York 6298805 418928 6.65 1377595 14153 1.03 323786.73
5 Georgia 1724762 204895 11.88 546540 73608 13.47 162446.39
6 Illinois 2939030 189705 6.45 815291 30623 3.76 231934.31
7 New Jersey 2230245 183701 8.24 470341 7200 1.53 251091.79
8 Arizona 995864 183656 18.44 246598 49043 19.89 130778.46
9 North Carolina 1904750 131802 6.92 591993 38094 6.43 181610.86
10 Louisiana 1484972 127246 8.57 460835 40835 8.86 319431.66
11 Pennsylvania 1300251 121247 9.32 316610 18172 5.74 101566.33
12 Massachusetts 1271218 119874 9.43 269534 7293 2.71 182922.15
13 Tennessee 1635191 116350 7.12 511494 44810 8.76 239301.82
14 Ohio 1598039 97471 6.10 509246 26870 5.28 136711.89
15 South Carolina 756145 96797 12.80 216181 32714 15.13 146860.94
16 Alabama 739784 96592 13.06 188675 35504 18.82 150878.26
17 Virginia 1194927 95867 8.02 333754 21436 6.42 139994.65
18 Michigan 2006578 94656 4.72 611424 14817 2.42 200921.87
19 Maryland 992141 93005 9.37 299612 17341 5.79 164107.43
20 Indiana 804345 71015 8.83 208787 16935 8.11 119476.95
21 Mississippi 482541 64400 13.35 118641 24603 20.74 162136.04
22 Washington 1010191 60917 6.03 276305 16604 6.01 132659.91
23 Minnesota 899480 58640 6.52 94268 14293 15.16 159492.68
24 Wisconsin 1023836 57779 5.64 281027 18152 6.46 175843.30
25 Missouri 742311 56773 7.65 213010 25900 12.16 120948.22
26 Nevada 500195 53557 10.71 129352 21642 16.73 162392.75
27 Connecticut 857098 50245 5.86 241550 2495 1.03 240400.84
28 Colorado 565319 49418 8.74 149103 10710 7.18 98167.20
29 Iowa 503120 47559 9.45 106669 10209 9.57 159463.97
30 Arkansas 539836 47028 8.71 138875 15914 11.46 178882.47
31 Utah 555391 42915 7.73 115863 11070 9.55 173237.14
32 Oklahoma 674653 41401 6.14 217836 17961 8.25 170497.33
33 Kentucky 632444 33254 5.26 164440 12171 7.40 141560.05
34 Kansas 308718 29617 9.59 69344 8800 12.69 105967.98
35 Nebraska 290181 27821 9.59 66952 5687 8.49 150010.24
36 Idaho 194593 23401 12.03 57730 10267 17.78 108585.91
37 New Mexico 597408 21773 3.64 160403 5635 3.51 284910.21
38 Oregon 432262 20224 4.68 113316 6715 5.93 102486.71
40 Rhode Island 215723 19611 9.09 38335 1900 4.96 203635.02
41 Delaware 192703 15365 7.97 47833 2251 4.71 197894.97
42 District of Columbia 205983 12518 6.08 65741 1442 2.19 291864.39
43 South Dakota 117574 9273 7.89 23538 1579 6.71 132903.19
44 West Virginia 307409 7278 2.37 88235 2621 2.97 172011.03
45 North Dakota 163719 7177 4.38 35663 2509 7.04 214836.85
46 New Hampshire 167407 6742 4.03 29135 603 2.07 123119.55
47 Montana 185815 4602 2.48 57975 2371 4.09 173857.43
48 Maine 180916 3999 2.21 50454 401 0.79 134588.89
49 Alaska 261572 3483 1.33 98550 1790 1.82 357561.05
50 Wyoming 56108 2953 5.26 12656 927 7.32 96945.36
51 Hawaii 134909 2914 2.16 35522 1603 4.51 95283.33
52 Vermont 100052 1445 1.44 21012 120 0.57 160342.57

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 479779 0 0 316375 65.94 146305 16792 0 0 3.50
Tamil Nadu 279144 0 0 221087 79.20 53486 4571 0 0 1.64
Andhra Pradesh 196789 0 0 112870 57.36 82166 1753 0 0 0.89
Karnataka 158254 0 0 80281 50.73 75067 2897 0 0 1.83
Delhi 141531 0 0 127124 89.82 10348 4059 0 0 2.87
Uttar Pradesh 108974 0 0 63402 58.18 43654 1918 0 0 1.76
West Bengal 86754 0 0 61023 70.34 23829 1902 0 0 2.19
Telangana 73050 0 0 52103 71.33 20358 589 0 0 0.81
Bihar 68148 0 0 43820 64.30 23939 388 0 0 0.57
Gujarat 67811 0 0 50524 74.51 14708 2579 0 0 3.80
Assam 52818 0 0 37225 70.48 15464 126 0 0 0.24
Rajasthan 48996 0 0 35131 71.70 13108 757 0 0 1.55
Odisha 40717 0 0 26888 66.04 13549 280 0 0 0.69
Haryana 39303 0 0 32640 83.05 6205 458 0 0 1.17
Madhya Pradesh 36564 0 0 26902 73.58 8716 946 0 0 2.59
Kerala 30449 0 0 18333 60.21 11983 98 0 0 0.32
Jammu and Kashmir 23454 0 0 15708 66.97 7310 436 0 0 1.86
Punjab 20891 0 0 13659 65.38 6715 517 0 0 2.47
Jharkhand 15756 0 0 6594 41.85 9017 145 0 0 0.92
Chhattisgarh 11020 0 0 8088 73.39 2855 77 0 0 0.70
Uttarakhand 8623 0 0 5427 62.94 3056 102 0 0 1.18
Goa 7614 0 0 5453 71.62 2095 66 0 0 0.87
Tripura 5740 0 0 3793 66.08 1898 31 0 0 0.54
Puducherry 4621 0 0 2808 60.77 1743 70 0 0 1.51
Manipur 3217 0 0 1905 59.22 1304 8 0 0 0.25
Himachal Pradesh 3047 0 0 1865 61.21 1141 13 0 0 0.43
Nagaland 2580 0 0 819 31.74 1752 6 0 0 0.23
Arunachal Pradesh 1948 0 0 1245 63.91 700 3 0 0 0.15
Ladakh 1595 0 0 1177 73.79 411 7 0 0 0.44
Dadra and Nagar Haveli and Daman and Diu 1415 0 0 997 70.46 406 2 0 0 0.14
Chandigarh 1327 0 0 777 58.55 529 20 0 0 1.51
Andaman and Nicobar Islands 1123 0 0 355 31.61 752 16 0 0 1.42
Meghalaya 990 0 0 345 34.85 640 5 0 0 0.51
Sikkim 829 0 0 353 42.58 475 1 0 0 0.12
Mizoram 538 0 0 288 53.53 249 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1344362 96637 118 0.12 7.19 168 11 5728 16829 17.41
Piemonte 513925 31762 22 0.07 6.18 90 4 778 4135 13.02
Emilia-Romagna 704622 29954 58 0.19 4.25 78 4 1652 4291 14.33
Veneto 1279252 20352 58 0.29 1.59 36 6 1097 2077 10.21
Toscana 441676 10547 17 0.16 2.39 20 0 425 1137 10.78
Liguria 196917 10263 13 0.13 5.21 20 0 210 1568 15.28
Lazio 433176 8744 18 0.21 2.02 185 8 993 865 9.89
Marche 172676 6914 9 0.13 4.00 16 0 141 987 14.28
Campania 343950 5035 5 0.10 1.46 20 1 385 438 8.70
P.A. Trento 158888 4988 4 0.08 3.14 3 0 80 405 8.12
Puglia 251470 4685 7 0.15 1.86 24 0 158 553 11.80
Abruzzo 133345 3435 15 0.44 2.58 20 1 153 472 13.74
Friuli Venezia Giulia 263885 3432 7 0.20 1.30 11 2 153 346 10.08
Sicilia 289460 3369 30 0.90 1.16 37 4 342 284 8.43
P.A. Bolzano 110703 2757 12 0.44 2.49 8 0 124 292 10.59
Umbria 125769 1482 3 0.20 1.18 8 0 29 80 5.40
Sardegna 110821 1430 3 0.21 1.29 7 0 55 134 9.37
Calabria 125393 1276 2 0.16 1.02 7 1 91 97 7.60
Valle d’Aosta 22165 1210 1 0.08 5.46 1 0 13 146 12.07
Molise 28685 478 0 0.00 1.67 1 0 34 23 4.81
Basilicata 48573 454 0 0.00 0.93 2 0 53 28 6.17

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 60133 133 0.22 5687 0 0.00 9.46 7043.25 666.11 1 in 142
Ontario 41635 75 0.18 2829 0 0.00 6.79 2830.04 192.29 1 in 353
Alberta 11296 56 0.50 205 2 0.99 1.81 2559.63 46.45 1 in 391
British Columbia 3881 47 1.23 195 0 0.00 5.02 759.35 38.15 1 in 1317
Saskatchewan 1387 11 0.80 19 1 5.56 1.37 1173.77 16.08 1 in 852
Nova Scotia 1071 0 0.00 64 0 0.00 5.98 1095.70 65.48 1 in 913
Manitoba 474 30 6.76 8 0 0.00 1.69 344.10 5.81 1 in 2906
Newfoundland and Labrador 266 0 0.00 3 0 0.00 1.13 510.20 5.75 1 in 1960
New Brunswick 176 2 1.15 2 0 0.00 1.14 225.64 2.56 1 in 4432
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 14 0 0.00 0 0 NaN 0.00 340.82 0.00 1 in 2934
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68138 4512 6.62
Hong Kong 3849 46 1.20
Guangdong 1687 8 0.47
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Beijing 935 9 0.96
Jiangxi 932 1 0.11
Shandong 805 7 0.87
Xinjiang 799 3 0.38
Shanghai 764 7 0.92
Jiangsu 659 0 0.00
Sichuan 611 3 0.49
Chongqing 583 6 1.03
Fujian 367 1 0.27
Hebei 349 6 1.72
Shaanxi 328 3 0.91
Liaoning 259 2 0.77
Inner Mongolia 258 1 0.39
Guangxi 255 2 0.78
Tianjin 205 3 1.46
Shanxi 201 0 0.00
Yunnan 191 2 1.05
Hainan 171 6 3.51
Gansu 167 2 1.20
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 14925.37 489.32 1 in 67
Brazil 13914.06 470.58 1 in 72
India 1513.87 31.06 1 in 661
Russia 6022.06 100.89 1 in 166
South Africa 9488.43 169.32 1 in 105
Mexico 3581.19 391.00 1 in 279
Peru 14156.33 634.88 1 in 71
Chile 20314.18 547.87 1 in 49
Colombia 7289.79 243.31 1 in 137
Iran 3944.27 221.49 1 in 254
Spain 6640.70 610.80 1 in 151
United Kingdom 4662.79 699.85 1 in 214
Saudi Arabia 8628.60 92.74 1 in 116
Pakistan 1430.78 30.63 1 in 699
Bangladesh NA NA 1 in NA
Italy 4120.44 581.80 1 in 243
Turkey 2936.08 71.75 1 in 341
France 3452.90 452.43 1 in 290
Argentina 5154.62 96.02 1 in 194
Germany 2597.40 110.90 1 in 385

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 226914 23563 10.38
Los Angeles California 201200 4869 2.42
Miami-Dade Florida 127677 1784 1.40
Maricopa Arizona 124022 2259 1.82
Cook Illinois 109150 4912 4.50
Harris Texas 81919 1459 1.78
Broward Florida 60058 782 1.30
Dallas Texas 52869 736 1.39
Clark Nevada 46184 752 1.63
Suffolk New York 43630 1998 4.58
Nassau New York 43534 2194 5.04
Bexar Texas 41939 705 1.68
Riverside California 39741 770 1.94
Orange California 38711 697 1.80
Westchester New York 36107 1447 4.01
Palm Beach Florida 35737 892 2.50
San Bernardino California 34635 490 1.41
Hillsborough Florida 31563 378 1.20
San Diego California 31127 583 1.87
Philadelphia Pennsylvania 30986 1695 5.47
Orange Florida 30776 275 0.89
Tarrant Texas 30227 422 1.40
Wayne Michigan 27836 2821 10.13
Middlesex Massachusetts 26156 1998 7.64
Prince George’s Maryland 23225 748 3.22
Duval Florida 22568 165 0.73
Travis Texas 22256 288 1.29
Shelby Tennessee 22212 300 1.35
Kern California 21724 152 0.70
Mecklenburg North Carolina 21704 222 1.02
Suffolk Massachusetts 21631 1066 4.93
Bergen New Jersey 20669 2037 9.86
Milwaukee Wisconsin 20389 452 2.22
Salt Lake Utah 20082 186 0.93
Davidson Tennessee 20001 211 1.05
Essex New Jersey 19644 2107 10.73
Hudson New Jersey 19580 1502 7.67
Fulton Georgia 19230 410 2.13
Hidalgo Texas 19103 765 4.00
Gwinnett Georgia 18854 244 1.29
Hennepin Minnesota 18641 828 4.44
Montgomery Maryland 18032 797 4.42
Fairfield Connecticut 17926 1406 7.84
Franklin Ohio 17834 521 2.92
Middlesex New Jersey 17821 1401 7.86
Essex Massachusetts 17617 1190 6.75
Passaic New Jersey 17585 1239 7.05
Pinellas Florida 17358 469 2.70
Pima Arizona 17293 480 2.78
Fresno California 16625 157 0.94
Union New Jersey 16622 1348 8.11
Lee Florida 16090 323 2.01
Fairfax Virginia 16087 527 3.28
King Washington 16078 664 4.13
Cameron Texas 15865 405 2.55
El Paso Texas 15596 285 1.83
Out of GA Georgia 15595 84 0.54
Marion Indiana 15322 723 4.72
Oakland Michigan 15176 1129 7.44
Providence Rhode Island 15047 0 0.00
Jefferson Louisiana 15002 521 3.47
St. Louis Missouri 14362 653 4.55
Rockland New York 13918 674 4.84
Polk Florida 13654 304 2.23
Nueces Texas 13552 227 1.68
Worcester Massachusetts 13525 998 7.38
DeKalb Georgia 13237 234 1.77
Cuyahoga Ohio 13141 491 3.74
New Haven Connecticut 13128 1104 8.41
Alameda California 12884 206 1.60
Baltimore Maryland 12777 557 4.36
Hartford Connecticut 12745 1414 11.09
Cobb Georgia 12718 313 2.46
District of Columbia District of Columbia 12518 587 4.69
Jefferson Alabama 12486 232 1.86
Lake Illinois 12376 444 3.59
San Joaquin California 12119 192 1.58
Baltimore City Maryland 12075 422 3.49
Charleston South Carolina 12019 190 1.58
DuPage Illinois 11926 519 4.35
East Baton Rouge Louisiana 11736 338 2.88
Wake North Carolina 11576 152 1.31
Yuma Arizona 11367 276 2.43
Santa Clara California 11336 196 1.73
Orange New York 11127 491 4.41
Douglas Nebraska 11022 131 1.19
Greenville South Carolina 10635 201 1.89
Orleans Louisiana 10573 561 5.31
Ocean New Jersey 10551 1016 9.63
Sacramento California 10544 155 1.47
Norfolk Massachusetts 10515 994 9.45
Tulare California 10334 196 1.90
Monmouth New Jersey 10227 856 8.37
Yakima Washington 10167 211 2.08
Collier Florida 10118 130 1.28
Oklahoma Oklahoma 10113 109 1.08
Denver Colorado 10052 413 4.11
Macomb Michigan 10042 942 9.38
Polk Iowa 10032 206 2.05
Montgomery Pennsylvania 9983 855 8.56

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc